Scientists are problem solvers. There are technological advancements that happened by chance and those that happened because of research. Regardless of how much effort is invested in coming up with an ...

The main objective of NoSQL databases is improved efficiency. It is somewhat achieved with the use of new technologies and thinking outside the box. An example of the new technologies applied could be ...

If you want to know what’s what in Big Data analytics today, you’ve got to know the basics of NoSQL databases, and how appropriate NoSQL databases facilitate Big Data analytics. What are the most ...

Investors have an appetite for databases, it seems. Today, ScyllaDB, a startup developing database tech for high-throughput, low-latency workloads, announced that it raised $43 million in a funding ...

Most applications need some form of persistence—a way to store the data outside the application for safekeeping. The most basic way is to write data to the file system, but that can quickly become a ...

Relational databases and SQL were invented in the 1970s, but still dominate the data world today. Why? Relational calculus, consistent data, logical data representation are all reasons that a ...

The modern sense of NoSQL, which dates from 2009, refers to databases that are not built on relational tables, unlike SQL databases. Often, NoSQL databases boast better design flexibility, horizontal ...

Businesses are struggling to cope with and leverage an explosion of complex and connected data. This need is driving many companies to adopt scalable, high performance NoSQL databases - a new breed of ...

While relational database technology is still the undisputed leader when it comes to enterprise data management, it is also becoming increasingly apparent that it is no longer the only game in town.

This post is one of a series that introduces the fundamentals of NOSQL databases, and their role in Big Data Analytics. What is a time series database? Time series databases are designed to optimize ...